1. Supratentorial intracerebral hemorrhage volume and other CT variables predict the neurological pupil index
- Author
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Khadijah Mazhar, DaiWai M. Olson, Aardhra M. Venkatachalam, James Moreno, Venkatesh Aiyagari, Folefac Atem, and Sonja E. Stutzman
- Subjects
Male ,medicine.medical_specialty ,Logistic regression ,Reflex, Pupillary ,Pupil ,03 medical and health sciences ,0302 clinical medicine ,Hematoma ,Midline shift ,Predictive Value of Tests ,medicine ,Humans ,cardiovascular diseases ,Pupillary light reflex ,Prospective Studies ,Aged ,Cerebral Hemorrhage ,Retrospective Studies ,Intracerebral hemorrhage ,Aged, 80 and over ,Neurologic Examination ,business.industry ,General Medicine ,Middle Aged ,medicine.disease ,Hydrocephalus ,030220 oncology & carcinogenesis ,Surgery ,Female ,Neurology (clinical) ,Radiology ,business ,Tomography, X-Ray Computed ,030217 neurology & neurosurgery ,Pupillometry - Abstract
Objectives There is growing interest in the ability of automated infrared pupillometry to assess severity of neurological illness. We studied the correlation between computed tomography (CT) indicators of intracerebral hemorrhage (ICH) severity with objective measures of the pupillary light reflex (PLR), and hypothesized that hemorrhage volume would predict the Neurological Pupil index™ (NPi™), an indicator of pupillary reactivity. Methods This study examined data from patients with supratentorial ICH who underwent serial pupillometer evaluations. CT images were examined to determine the location and laterality of the hemorrhage, along with hematoma volume (using the simplified ABC/2 method), midline shift, hydrocephalus score, and modified Graeb score (indicating interventricular hemorrhage). Demographics were examined with standard measures of central tendency, hypotheses with logistic regression, categorical data with Fisher’s Exact X2, and multivariate modeling with constructed MAX-R models. Results Data were gathered from 44 subjects. ICH volume exhibited the strongest correlation with NPi (ipsilateral [r2 = 0.48, p Conclusion ICH volume and shift of midline structures correlate with NPi, and abnormalities in NPi can be predicted by hematoma volume and other CT indicators of ICH severity. Future studies should explore the role of NPi in detecting early hematoma expansion and worsening midline shift.
- Published
- 2020